Data summary
Name store
Number of rows 9994
Number of columns 13
_______________________
Column type frequency:
factor 9
numeric 4
________________________
Group variables None

Variable type: factor

skim_variable n_missing complete_rate ordered n_unique top_counts
Ship Mode 0 1 FALSE 4 Sta: 5968, Sec: 1945, Fir: 1538, Sam: 543
Segment 0 1 FALSE 3 Con: 5191, Cor: 3020, Hom: 1783
Country 0 1 FALSE 1 Uni: 9994
City 0 1 FALSE 531 New: 915, Los: 747, Phi: 537, San: 510
State 0 1 FALSE 49 Cal: 2001, New: 1128, Tex: 985, Pen: 587
Postal Code 0 1 FALSE 631 100: 263, 100: 230, 100: 229, 941: 203
Region 0 1 FALSE 4 Wes: 3203, Eas: 2848, Cen: 2323, Sou: 1620
Category 0 1 FALSE 3 Off: 6026, Fur: 2121, Tec: 1847
Sub-Category 0 1 FALSE 17 Bin: 1523, Pap: 1370, Fur: 957, Pho: 889

Variable type: numeric

skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
Sales 0 1 229.86 623.25 0.44 17.28 54.49 209.94 22638.48 ▇▁▁▁▁
Quantity 0 1 3.79 2.23 1.00 2.00 3.00 5.00 14.00 ▇▅▁▁▁
Discount 0 1 0.16 0.21 0.00 0.00 0.20 0.20 0.80 ▇▆▁▁▁
Profit 0 1 28.66 234.26 -6599.98 1.73 8.67 29.36 8399.98 ▁▁▇▁▁

Exploratory Data Visualization All

Row

All Features

Exploratory Data Visualization 1a

Row

Shiping Modde vs Profit

Segment vs Profit

Exploratory Data Visualization 1b

Region vs Profit

Category vs Profit

EDV 2

Column

State vs Profit

Sub category vs Profit

EDV 3

Row

Sales vs Profit

Discount vs Profit

Quantity vs Profit

EDV 4a

Quantity vs Sales

Discount vs Sales

EDV 4b

Category vs Sales

Sub-Category vs Sales

EDV 5

Category vs Quantity

SUb-Category vs Quantity